{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1f89506a-6dda-4e4d-9c44-54f6815f59aa",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## 使用 pdfplumber 解析 PDF 文件\n",
    "\n",
    "### 项目简介\n",
    "\n",
    "[pdfplumber](https://github.com/jsvine/pdfplumber) 项目(基于pdfminer.six开发)，支持解析PDF文件，获取每个文本字符、矩形和线条的详细信息。此外还支持表格提取和可视化调试。\n",
    "\n",
    "对于机器生成的PDF而言效果最佳，不适用于扫描得到的PDF。\n",
    "\n",
    "支持：Python 3.8~3.11\n",
    "\n",
    "![](images/pdfplumber.png)\n",
    "\n",
    "\n",
    "本 Notebook 主要内容如下：\n",
    "\n",
    "- 加载PDF文件\n",
    "- 提取单页文本\n",
    "- 提取单页表格\n",
    "- 可视化调试页面\n",
    "- 提取页面图像"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18fcace0-03a5-4840-8b46-ed5cf0dcda68",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 加载PDF文件\n",
    "\n",
    "要开始处理PDF，请调用`pdfplumber.open(x)`方法，其中`x`可以是：\n",
    "\n",
    "- PDF 文件路径\n",
    "- 作为字节加载的文件对象\n",
    "- 作为字节加载的类似文件的对象\n",
    "\n",
    "open方法将返回一个`pdfplumber.PDF`类的实例。\n",
    "\n",
    "##### 高级加载参数\n",
    "\n",
    "要加载受密码保护的PDF，请传递`password`关键字参数，例如：`pdfplumber.open(\"file.pdf\", password=\"test\")`。\n",
    "\n",
    "要设置布局分析参数到`pdfminer.six`的布局引擎中，请传递`laparams`关键字参数，例如：`pdfplumber.open(\"file.pdf\", laparams={\"line_overlap\": 0.7})`。\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84f147ee-9fb2-40ff-9bc9-a7a99bf5f99b",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### pdfplumber.PDF 类(Top-level)\n",
    "\n",
    "`pdfplumber.PDF`类表示一个独立的PDF文件，两个主要成员变量：\n",
    "\n",
    "| 属性 | 描述 |\n",
    "|----------|-------------|\n",
    "|`.metadata`| 一个由PDF的 `Info` 尾部信息中的元数据键/值对组成的字典。通常包括 \"CreationDate,\" \"ModDate,\" \"Producer,\" 等等。|\n",
    "|`.pages`| 包含每个已加载页面的 `pdfplumber.Page` 实例的列表。|\n",
    "\n",
    "一个主要成员方法：\n",
    "\n",
    "| 方法 | 描述 |\n",
    "|--------|-------------|\n",
    "|`.close()`| 默认情况下，`Page` 对象会缓存其布局和对象信息，以避免重新处理。然而，在解析大型PDF时，这些缓存的属性可能需要大量内存。你可以使用此方法来清除缓存并释放内存。（在 `<= 0.5.25` 版本中，使用 `.flush_cache()`。）|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b500262-a7a8-4ad1-8bdf-47de01ddab9e",
   "metadata": {
    "pycharm": {
     "name": "#%%\n",
     "is_executing": true
    }
   },
   "outputs": [],
   "source": [
    "import pdfplumber\n",
    "\n",
    "pdf = pdfplumber.open(\"The_Old_Man_of_the_Sea.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "76ccc94f-3cfb-4db4-bfdb-b368f0484bf8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'CreationDate': \"D:20060717205532+08'00'\",\n",
       " 'Subject': 'For Personal Learning!',\n",
       " 'Author': 'Asiaing.com',\n",
       " 'Creator': 'PScript5.dll Version 5.2',\n",
       " 'Producer': 'Acrobat Distiller 7.0.5 (Windows)',\n",
       " 'ModDate': \"D:20060717210222+08'00'\",\n",
       " 'Title': 'Hemingway, Ernest - The Old Man and the Sea'}"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf.metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "6678c068-6782-4f88-b637-b2bf7ab97027",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<Page:1>,\n",
       " <Page:2>,\n",
       " <Page:3>,\n",
       " <Page:4>,\n",
       " <Page:5>,\n",
       " <Page:6>,\n",
       " <Page:7>,\n",
       " <Page:8>,\n",
       " <Page:9>,\n",
       " <Page:10>,\n",
       " <Page:11>,\n",
       " <Page:12>,\n",
       " <Page:13>,\n",
       " <Page:14>,\n",
       " <Page:15>,\n",
       " <Page:16>,\n",
       " <Page:17>,\n",
       " <Page:18>,\n",
       " <Page:19>,\n",
       " <Page:20>,\n",
       " <Page:21>,\n",
       " <Page:22>,\n",
       " <Page:23>,\n",
       " <Page:24>,\n",
       " <Page:25>,\n",
       " <Page:26>,\n",
       " <Page:27>,\n",
       " <Page:28>,\n",
       " <Page:29>,\n",
       " <Page:30>,\n",
       " <Page:31>,\n",
       " <Page:32>,\n",
       " <Page:33>,\n",
       " <Page:34>,\n",
       " <Page:35>,\n",
       " <Page:36>,\n",
       " <Page:37>,\n",
       " <Page:38>,\n",
       " <Page:39>,\n",
       " <Page:40>,\n",
       " <Page:41>,\n",
       " <Page:42>,\n",
       " <Page:43>,\n",
       " <Page:44>,\n",
       " <Page:45>,\n",
       " <Page:46>,\n",
       " <Page:47>,\n",
       " <Page:48>,\n",
       " <Page:49>,\n",
       " <Page:50>,\n",
       " <Page:51>,\n",
       " <Page:52>]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf.pages"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b0d3374-01a5-406c-b91a-4b1f30941d77",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### pdfplumber.Page 类\n",
    "\n",
    "`pdfplumber.Page` 类是 `pdfplumber` 的核心，表示PDF文件中一页单独的内容。\n",
    "\n",
    "当我们使用 `pdfplumber` 时，大部分操作都会围绕这个类展开。\n",
    "\n",
    "主要成员变量如下：\n",
    "\n",
    "| 属性 | 描述 |\n",
    "|----------|-------------|\n",
    "|`.page_number`| 顺序页码，从第一页开始为 `1`，第二页为 `2`，以此类推。|\n",
    "|`.width`| 页面的宽度。|\n",
    "|`.height`| 页面的高度。|\n",
    "|`.objects` / `.chars` / `.lines` / `.rects` / `.curves` / `.images`| 这些属性都是列表，每个列表包含页面上嵌入的每个此类对象的一个字典。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "1d2d7a97-f830-4be9-b5f2-e4c187d26927",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "pdf = pdfplumber.open(\"test.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "4f05b7bd-91f5-4091-b460-93f3363baa24",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<Page:1>, <Page:2>]\n"
     ]
    }
   ],
   "source": [
    "pages = pdf.pages\n",
    "print(pages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "3a9be6ef-7345-4b16-878d-e5df3238471b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pages[0].page_number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "ea51868e-9428-45bc-a958-a287160b08ff",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "595 842\n"
     ]
    }
   ],
   "source": [
    "print(pages[0].width, pages[0].height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "2f16a505-164c-4641-aef4-027c85d1a3f2",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<pdfplumber.display.PageImage at 0x7fedfb175000>"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 可视化第1页\n",
    "pages[0].to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "8e2ecbfe-3051-42bc-8a4d-d68507dde9c1",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x7fedfb1750c0>"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 可视化第2页（尝试调整分辨率和抗锯齿）\n",
    "pages[1].to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a800658b-c174-4ad2-a4c6-815bc21b08b5",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "383841ab-b784-4323-ae47-d54a51fe150d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "661419f6-5cbc-4903-9ee4-38594feeafa0",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a356c12b-f32c-41f6-b0e8-eb5ab0845919",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 提取单页文本\n",
    "\n",
    "\n",
    "`pdfplumber`库支持从任何给定的页面(`pdfplumber.Page`)中提取文本（包括裁剪和派生页面）。\n",
    "\n",
    "在提取文本的基础功能外，同时支持保留文本布局，识别单词和搜索页面中的文本\n",
    "\n",
    "#### 文本提取方法\n",
    "\n",
    "`pdfplumber.Page` 对象可以调用以下方法：\n",
    "\n",
    "| 方法 | 描述 |\n",
    "|--------|-------------|\n",
    "|`.extract_text(x_tolerance=3, y_tolerance=3, layout=False, x_density=7.25, y_density=13, **kwargs)`| 将页面的所有字符对象汇集成一个单一的字符串。<ul><li><p>当 `layout=False` 时：在一个字符的 `x1` 和下一个字符的 `x0` 之间的差异大于 `x_tolerance` 时添加空格。在一个字符的 `doctop` 和下一个字符的 `doctop` 之间的差异大于 `y_tolerance` 时添加换行符。</p></li><li><p>当 `layout=True`（*实验性功能*）时：尝试模仿页面上文本的结构布局，使用 `x_density` 和 `y_density` 来确定每个\"点\"（PDF的度量单位）的最小字符/换行符数量。所有剩余的 `**kwargs` 都传递给 `.extract_words(...)`（见下文），这是计算布局的第一步。</p></li></ul>|\n",
    "|`.extract_text_simple(x_tolerance=3, y_tolerance=3)`| `.extract_text(...)` 的稍快但不太灵活的版本，使用更简单的逻辑。|\n",
    "|`.extract_words(x_tolerance=3, y_tolerance=3, keep_blank_chars=False, use_text_flow=False, horizontal_ltr=True, vertical_ttb=True, extra_attrs=[], split_at_punctuation=False, expand_ligatures=True)`| 返回所有看起来像单词的东西及其边界框的列表。单词被认为是字符序列，其中（对于\"直立\"字符）一个字符的 `x1` 和下一个字符的 `x0` 之间的差异小于或等于 `x_tolerance` *并且* 一个字符的 `doctop` 和下一个字符的 `doctop` 之间的差异小于或等于 `y_tolerance`。对于非直立字符，采取类似的方法，但是测量它们之间的垂直距离，而不是水平距离。参数 `horizontal_ltr` 和 `vertical_ttb` 表示是否应从左到右阅读单词（对于水平单词）/从上到下（对于垂直单词）。将 `keep_blank_chars` 更改为 `True` 将意味着空白字符被视为单词的一部分，而不是单词之间的空格。将 `use_text_flow` 更改为 `True` 将使用PDF的底层字符流作为排序和划分单词的指南，而不是预先按x/y位置排序字符。（这模仿了在PDF中拖动光标突出显示文本的方式；就像那样，顺序并不总是看起来逻辑。）传递 `extra_attrs` 列表（例如，`[\"fontname\", \"size\"]` 将限制每个单词的字符具有完全相同的值，对于这些[属性](#char-properties)，并且结果的单词dicts将指示这些属性。将 `split_at_punctuation` 设置为 `True` 将在 `string.punctuation` 指定的标点处强制分割标记；或者你可以通过传递一个字符串来指定分隔标点的列表，例如，<code>split_at_punctuation='!\"&\\'()*+,.:;<=>?@[\\]^\\`\\{\\|\\}~'</code>。除非你设置 `expand_ligatures=False`，否则将展开诸如 `ﬁ` 之类的连字成其组成字母（例如，`fi`）。|\n",
    "|`.extract_text_lines(layout=False, strip=True, return_chars=True, **kwargs)`|*实验性功能*，返回代表页面上文本行的字典列表。`strip` 参数类似于Python的 `str.strip()` 方法，并返回没有周围空白的 `text` 属性。（只有当 `layout = True` 时才相关。）将 `return_chars` 设置为 `False` 将排除从返回的文本行dicts中添加单个字符对象。剩余的 `**kwargs` 是你将传递给 `.extract_text(layout=True, ...)` 的参数。|\n",
    "|`.search(pattern, regex=True, case=True, main_group=0, return_groups=True, return_chars=True, layout=False, **kwargs)`|*实验性功能*，允许你搜索页面的文本，返回匹配查询的所有实例的列表。对于每个实例，响应字典对象包含匹配的文本、任何正则表达式组匹配、边界框坐标和字符对象本身。`pattern` 可以是编译的正则表达式、未编译的正则表达式或非正则字符串。如果 `regex` 是 `False`，则将模式视为非正则字符串。如果 `case` 是 `False`，则以不区分大小写的方式执行搜索。设置 `main_group` 将结果限制为 `pattern` 中的特定正则组（`0` 的默认值表示整个匹配）。将 `return_groups` 和/或 `return_chars` 设置为 `False` 将排除添加匹配的正则组和/或字符的列表（作为 `\"groups\"` 和 `\"chars\"` 添加到返回的dicts）。`layout` 参数的操作方式与 `.extract_text(...)` 相同。剩余的 `**kwargs` 是你将传递给 `.extract_text(layout=True, ...)` 的参数。 __注意__：零宽度和全空白匹配被丢弃，因为它们（通常）在页面上没有明确的位置。 |\n",
    "|`.dedupe_chars(tolerance=1)`| 返回页面的版本，其中删除了重复的字符 — 那些与其他字符共享相同的文本、字体名、大小和位置（在 `tolerance` x/y 内）的字符。（参见 [Issue #71](https://github.com/jsvine/pdfplumber/issues/71) 以理解动机。）|\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "796103d6-0f83-4fd5-a9bd-5bc4b4c393a7",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 获取单页文本\n",
    "p1_text = pages[0].extract_text()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "ffed75f0-ec46-478f-9b83-ca0156127206",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data\n",
      "This dataset contains two test samples provided by ChatGPT, an AI language model by OpenAI.\n",
      "These samples include a markdown table and an English text passage, which can be used to test an\n",
      "English-to-Chinese translation software supporting both text and table formats.\n",
      "Text testing\n",
      "The quick brown fox jumps over the lazy dog. This pangram contains every letter of the English\n",
      "alphabet at least once. Pangrams are often used to test fonts, keyboards, and other text-related\n",
      "tools. In addition to English, there are pangrams in many other languages. Some pangrams are more\n",
      "difficult to construct due to the unique characteristics of the language.\n",
      "Table Testing\n",
      "Fruit Color Price (USD)\n",
      "Apple Red 1.20\n",
      "Banana Yellow 0.50\n",
      "Orange Orange 0.80\n",
      "Strawberry Red 2.50\n",
      "Blueberry Blue 3.00\n",
      "Kiwi Green 1.00\n",
      "Mango Orange 1.50\n",
      "Grape Purple 2.00\n"
     ]
    }
   ],
   "source": [
    "print(p1_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "b1ec2811-01a9-4e9d-8171-d3b083cf97f0",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 获取单页文本（保留布局）\n",
    "p1_text = pages[0].extract_text(layout=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "510f03e4-1a88-4bf7-b71a-f03ce3215444",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "        Test    Data                                                              \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "        This dataset contains two test samples provided by ChatGPT, an AI language model by OpenAI.\n",
      "        These samples include a markdown table and an English text passage, which can be used to test an\n",
      "        English-to-Chinese translation software supporting both text and table formats.\n",
      "                                                                                  \n",
      "                                                                                  \n",
      "        Text  testing                                                             \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "        The quick brown fox jumps over the lazy dog. This pangram contains every letter of the English\n",
      "        alphabet at least once. Pangrams are often used to test fonts, keyboards, and other text-related\n",
      "        tools. In addition to English, there are pangrams in many other languages. Some pangrams are more\n",
      "                                                                                  \n",
      "        difficult to construct due to the unique characteristics of the language. \n",
      "                                                                                  \n",
      "        Table  Testing                                                            \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "          Fruit                  Color            Price (USD)                     \n",
      "                                                                                  \n",
      "          Apple                  Red              1.20                            \n",
      "                                                                                  \n",
      "          Banana                 Yellow           0.50                            \n",
      "                                                                                  \n",
      "          Orange                 Orange           0.80                            \n",
      "                                                                                  \n",
      "          Strawberry             Red              2.50                            \n",
      "                                                                                  \n",
      "          Blueberry              Blue             3.00                            \n",
      "                                                                                  \n",
      "          Kiwi                   Green            1.00                            \n",
      "                                                                                  \n",
      "          Mango                  Orange           1.50                            \n",
      "                                                                                  \n",
      "          Grape                  Purple           2.00                            \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n",
      "                                                                                  \n"
     ]
    }
   ],
   "source": [
    "print(p1_text)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c5eb0e9-3dca-4e10-8435-3261f748796b",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**注意：表格也被文本解析出来了**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c57a531-892b-4f5b-99ab-d3a00e4c6623",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "61b998ea-ec34-4467-96af-2145c5bb63d4",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 提取单页表格\n",
    "\n",
    "\n",
    "`pdfplumber` 对表格提取的方法大量借鉴了 [Anssi Nurminen 的硕士论文](http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3)，并受到 [Tabula](https://github.com/tabulapdf/tabula-extractor/issues/16) 的启发。\n",
    "\n",
    "它的工作原理如下：\n",
    "\n",
    "1. 对于任何给定的PDF页面，找到那些（a）明确定义的线条和/或（b）由页面上单词的对齐方式暗示的线条。\n",
    "2. 合并重叠的，或几乎重叠的，线条。\n",
    "3. 找到所有这些线条的交点。\n",
    "4. 找到使用这些交点作为顶点的最精细的矩形集合（即，单元格）。\n",
    "5. 将连续的单元格分组成表格。\n",
    "\n",
    "#### 表格提取方法\n",
    "\n",
    "`pdfplumber.Page` 对象可以调用以下方法：\n",
    "\n",
    "| 方法 | 描述 |\n",
    "|--------|-------------|\n",
    "|`.find_tables(table_settings={})`|返回一个 `Table` 对象的列表。`Table` 对象提供对 `.cells`，`.rows`，和 `.bbox` 属性的访问，以及 `.extract(x_tolerance=3, y_tolerance=3)` 方法。|\n",
    "|`.find_table(table_settings={})`|类似于 `.find_tables(...)`，但返回页面上 *最大* 的表格，作为一个 `Table` 对象。如果多个表格的大小相同 —— 以单元格数量衡量 —— 此方法返回最接近页面顶部的表格。|\n",
    "|`.extract_tables(table_settings={})`|返回从页面上找到的 *所有* 表格中提取的文本，表示为一个列表的列表的列表，结构为 `table -> row -> cell`。|\n",
    "|`.extract_table(table_settings={})`|返回从页面上 *最大* 的表格中提取的文本（参见上面的 `.find_table(...)`），表示为一个列表的列表，结构为 `row -> cell`。|\n",
    "|`.debug_tablefinder(table_settings={})`|返回 `TableFinder` 类的一个实例，可以访问 `.edges`，`.intersections`，`.cells`，和 `.tables` 属性。|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "f48b78be-103a-4efb-8c0e-1c7fb40cd880",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 获取单页表格\n",
    "p1_table = pages[0].extract_table()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "ee3c888d-62e6-4e73-bcc0-0a7a587b6580",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Fruit', 'Color', 'Price (USD)'],\n",
       " ['Apple', 'Red', '1.20'],\n",
       " ['Banana', 'Yellow', '0.50'],\n",
       " ['Orange', 'Orange', '0.80'],\n",
       " ['Strawberry', 'Red', '2.50'],\n",
       " ['Blueberry', 'Blue', '3.00'],\n",
       " ['Kiwi', 'Green', '1.00'],\n",
       " ['Mango', 'Orange', '1.50'],\n",
       " ['Grape', 'Purple', '2.00']]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "9e9e7d7f-348e-4991-a3fd-085bec06efa8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 获取单页所有表格\n",
    "tables = pages[0].extract_tables()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "dc2c8129-66e6-4ccd-9293-24de2b3fa06e",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(tables)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "318abecd-36d1-450b-8f2c-381a78dbfe1f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[['Fruit', 'Color', 'Price (USD)'],\n",
       "  ['Apple', 'Red', '1.20'],\n",
       "  ['Banana', 'Yellow', '0.50'],\n",
       "  ['Orange', 'Orange', '0.80'],\n",
       "  ['Strawberry', 'Red', '2.50'],\n",
       "  ['Blueberry', 'Blue', '3.00'],\n",
       "  ['Kiwi', 'Green', '1.00'],\n",
       "  ['Mango', 'Orange', '1.50'],\n",
       "  ['Grape', 'Purple', '2.00']]]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2fbffdd0-8954-4a83-93c0-36fa22dd59b4",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "p1_debug_table = pages[0].debug_tablefinder()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "df8b8060-d054-4ebd-9ae5-34acaa8156d1",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pdfplumber.table.TableFinder"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(p1_debug_table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "2951f438-a9c5-4e39-86d3-fe59a1989bfb",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<pdfplumber.table.Table at 0x7fedfb3d79d0>]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1_debug_table.tables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1ec5e80-fc09-4816-b5c4-893e95b6f367",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "#### 使用 Pandas.DataFrame 来展示和存储表格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "97c2a7c0-ecb6-41ec-bb39-9bbe12f86ab1",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame(p1_table[1:], columns=p1_table[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "581baa04-d5a1-4ce3-8580-891eda837b4d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fruit</th>\n",
       "      <th>Color</th>\n",
       "      <th>Price (USD)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Apple</td>\n",
       "      <td>Red</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Banana</td>\n",
       "      <td>Yellow</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Orange</td>\n",
       "      <td>Orange</td>\n",
       "      <td>0.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Strawberry</td>\n",
       "      <td>Red</td>\n",
       "      <td>2.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Blueberry</td>\n",
       "      <td>Blue</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Kiwi</td>\n",
       "      <td>Green</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Mango</td>\n",
       "      <td>Orange</td>\n",
       "      <td>1.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Grape</td>\n",
       "      <td>Purple</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Fruit   Color Price (USD)\n",
       "0       Apple     Red        1.20\n",
       "1      Banana  Yellow        0.50\n",
       "2      Orange  Orange        0.80\n",
       "3  Strawberry     Red        2.50\n",
       "4   Blueberry    Blue        3.00\n",
       "5        Kiwi   Green        1.00\n",
       "6       Mango  Orange        1.50\n",
       "7       Grape  Purple        2.00"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbb94c15-e006-455f-96bc-eece4e18cbd4",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 可视化调试页面\n",
    "\n",
    "`pdfplumber` 可视化调试工具可以帮助我们理解PDF文件的内容和结构，以及从中提取出来的对象。\n",
    "\n",
    "\n",
    "#### `PageImage` 类\n",
    "\n",
    "`pdfplumber.Page` 对象可以使用`.to_image()`方法，将任何页面（包括裁剪后的页面）转换为`PageImage`对象。\n",
    "\n",
    "`pdfplumber.Page.to_image()`方法主要参数：\n",
    "\n",
    "- resolution：所需每英寸像素数。默认值：72。类型：整数。\n",
    "- width：所需图像宽度（以像素为单位）。默认值：未设置，由分辨率确定。类型：整数。\n",
    "- height：所需图像高度（以像素为单位）。默认值：未设置，由分辨率确定。类型：整数。\n",
    "- antialias: 是否在创建图像时使用抗锯齿。将其设置为True可以创建具有较少锯齿的文本和图形，但文件大小会更大。默认值：False。类型：布尔值。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "6e4b1b0b-5dcd-4507-a6d0-a978a5e469f2",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<pdfplumber.display.PageImage at 0x7fedfb1752d0>"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 可视化第一页\n",
    "pages[0].to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "877a430d-d933-4fec-8f5f-a3c0509b1de9",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x7fedfb1752a0>"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 可视化第二页（尝试调整分辨率和抗锯齿）\n",
    "pages[1].to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3ef0aff-e2b9-4e1b-bb8e-e736185935ff",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5163fa2d-7a98-4c12-84d9-70e1182afde8",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 提取页面图像\n",
    "\n",
    "`pdfplumber.Page`  对象没有 extract_images 方法，所以不能直接从 PDF 页面中提取图像。\n",
    "\n",
    "但是，可以通过页面操作来截取和获取图像，`pdfplumber.Page`类相关成员变量如下：\n",
    "\n",
    "\n",
    "| 属性 | 描述 |\n",
    "|----------|-------------|\n",
    "|`.width`| 页面的宽度。|\n",
    "|`.height`| 页面的高度。|\n",
    "|`.objects` / `.chars` / `.lines` / `.rects` / `.curves` / `.images`| 这些属性都是列表，每个列表包含页面上嵌入的每个此类对象的一个字典。\n",
    "\n",
    "\n",
    "相关成员方法：\n",
    "\n",
    "| 方法 | 描述 |\n",
    "|--------|-------------|\n",
    "|`.crop(bounding_box, relative=False, strict=True)`| 返回裁剪到边界框的页面版本，边界框应表示为4元组，值为 `(x0, top, x1, bottom)`。裁剪的页面保留至少部分在边界框内的对象。如果对象只部分在框内，其尺寸将被切割以适应边界框。如果 `relative=True`，则边界框是从页面边界框的左上角偏移计算的，而不是绝对定位。（请参见 [Issue #245](https://github.com/jsvine/pdfplumber/issues/245) 以获取视觉示例和解释。）当 `strict=True`（默认值）时，裁剪的边界框必须完全在页面的边界框内。|\n",
    "|`.within_bbox(bounding_box, relative=False, strict=True)`| 类似于 `.crop`，但只保留 *完全在* 边界框内的对象。|\n",
    "|`.outside_bbox(bounding_box, relative=False, strict=True)`| 类似于 `.crop` 和 `.within_bbox`，但只保留 *完全在* 边界框外的对象。|\n",
    "|`.filter(test_function)`| 返回只有 `test_function(obj)` 返回 `True` 的 `.objects` 的页面版本。|\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "8c6c4c76-d425-4a0d-bd62-2f502afec961",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'x0': 61.25348,\n",
       "  'y0': 443.9213,\n",
       "  'x1': 533.74648,\n",
       "  'y1': 801.8948,\n",
       "  'width': 472.493,\n",
       "  'height': 357.97350000000006,\n",
       "  'stream': <PDFStream(17): raw=1522591, {'Type': /'XObject', 'Subtype': /'Image', 'Width': 1288, 'Height': 975, 'Interpolate': True, 'ColorSpace': <PDFObjRef:18>, 'Intent': /'Perceptual', 'BitsPerComponent': 8, 'Length': 1522590, 'Filter': /'FlateDecode'}>,\n",
       "  'srcsize': (1288, 975),\n",
       "  'imagemask': None,\n",
       "  'bits': 8,\n",
       "  'colorspace': [[/'ICCBased',\n",
       "    <PDFStream(19): raw=2758, {'N': 3, 'Alternate': /'DeviceRGB', 'Length': 2757, 'Filter': /'FlateDecode'}>]],\n",
       "  'object_type': 'image',\n",
       "  'page_number': 2,\n",
       "  'top': 40.10519999999997,\n",
       "  'bottom': 398.0787,\n",
       "  'doctop': 882.1052}]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 从 PageImage 中获取页面图像分辨率\n",
    "pages[1].images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "29efdd4e-f31b-4612-a046-b9537cdb58ce",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "img = pages[1].images[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "4eaf103b-bd3c-4081-861c-79f30438ea8c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "bbox = (img[\"x0\"], img[\"top\"], img[\"x1\"], img[\"bottom\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "d685120d-b734-4f99-9cdb-3636c08a56ed",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "cropped_page = pages[1].crop(bbox)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "a6b5e99e-85df-4e6c-8087-17b61f49eb7b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x7fedfafa8700>"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 可视化裁剪后的第二页\n",
    "cropped_page.to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "53fc4125-d027-4803-a080-bb2464694310",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x7fedfafaa440>"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 可视化裁剪后的第二页+抗锯齿\n",
    "cropped_page.to_image(antialias=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "3bd9f9ae-58d4-4f3a-aac9-3814a463ca55",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "im = cropped_page.to_image(antialias=True)\n",
    "im.save(\"pdf_image_test.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bbb480bc-a7ee-48bf-bfcf-14120acf6e2f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a48babba-33d5-4529-ab98-c3c60ed541fb",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd66c8f0-42be-4f7c-863c-68bf2b2ef996",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}